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一种船舶历史活动热力图实时生成策略

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在船舶信息大数据系统中,针对在客户端向服务器请求大批量历史数据并实时绘制热力图时,会出现耗时较长、热力图效果失真以及地图软件漫游时跟随性差或卡顿等问题,提出一种改进的船舶历史活动热力图实时生成策略.该策略在基于像素聚类思想的热力图生成方法基础上,采用基于非线性变换的图像增强算法和像素补点方法,对传统方法绘制的热力图所存在的显示失真问题进行校正和优化,并在此基础上,提出动态加载与绘制策略和多线程实时成图策略,来生成船舶历史活动的热力图.试验表明,所提出策略在热力图绘制的效率、成图效果以及地图软件的交互体验上都得到了提升.
A real-time generating strategy for ship historical activity heat map
In the ship information big data system,aiming at the problems such as long time consuming,distortion of ther-mal map effect and poor tracking or lag in the roaming of map software when the client requests a large amount of historical data from the server and draws heat map in real time,this paper proposes an improved real-time generation strategy of map map of ship history activity.Based on the thermal map generation method with the idea of pixel clustering,this strategy uses the image enhancement algorithm based on nonlinear transformation and pixel complement method to correct and optimize the display distortion problems existing in the head map.On this basis,the dynamic loading and drawing strategy and multi-thread real-time mapping strategy are proposed to generate the heat map of the ship's historical activities.Experiments show that the strategy proposed in this paper has been improved in the efficiency of heat map drawing,mapping effect and interac-tive experience of map software.

big dataheat mapdistortion correctionmulti-threadingreal-time generation

梁晶晶、魏乾

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中国人民解放军 91001 部队, 北京 100036

大数据 热力图 失真校正 多线程 实时生成

2024

指挥控制与仿真
中国船舶重工集团公司 第七一六研究所

指挥控制与仿真

CSTPCD
影响因子:0.309
ISSN:1673-3819
年,卷(期):2024.46(1)
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